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What is NVIDIA DRIVE Map?

NVIDIA DRIVE® Map is a sophisticated mapping solution specifically designed to bolster vehicle autonomy while prioritizing safety. It combines accurate ground truth mapping with the nimbleness and extensiveness of AI-powered fleet-generated mapping, yielding impressive outcomes. The platform incorporates four unique localization layers—camera, lidar, radar, and GNSS—offering essential redundancy and adaptability for advanced AI-driven systems. Emphasizing unparalleled accuracy, the ground truth map engine creates DRIVE Maps by synthesizing data from various sensors, such as cameras, radars, lidars, and differential GNSS/IMU, all collected via NVIDIA DRIVE Hyperion data collection vehicles. It achieves remarkable precision of under 5 cm, especially in high autonomy contexts (L3/L4), in settings like urban landscapes and highways. Tailored for swift performance and global compatibility, DRIVE Map takes advantage of both ground truth and fleet-generated data, representing the collective intelligence of millions of vehicles on the road. This cutting-edge methodology not only improves mapping accuracy but also plays a vital role in advancing the future of autonomous driving technology, paving the way for safer roadways and smarter transport systems.

What is LidarView?

LidarView, an open-source initiative developed by Kitware, enables users to visualize, record, and process 3D LiDAR data in real-time. Built upon the ParaView framework, this platform excels at rendering large point clouds and includes features such as 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for various attributes like timestamp and azimuth, and the ability to display multiple data frames simultaneously. It allows for data input from both live sensor streams and recorded .pcap files, giving users the ability to perform 3D transformations on point clouds and manage different subsets of laser data with ease. LidarView supports a wide variety of sensors, including those from well-known manufacturers such as Velodyne, Hesai, Robosense, Livox, and Leishen, enabling the visualization of live data streams or the replay of previously captured information. The platform integrates advanced algorithms for Simultaneous Localization and Mapping (SLAM), facilitating accurate environmental reconstruction and sensor localization. Furthermore, it incorporates AI and machine learning functionalities that improve scene classification, providing users with an extensive toolkit for sophisticated data analysis and visualization. As a result, LidarView stands out as an adaptable solution for both researchers and professionals eager to harness the capabilities of LiDAR technology in their respective fields, ultimately enhancing their project outcomes and insights.

Media

Media

Integrations Supported

Baidu
Civil Designer
ParaView
Simulink

Integrations Supported

Baidu
Civil Designer
ParaView
Simulink

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/hd-mapping/

Company Facts

Organization Name

Kitware

Date Founded

1998

Company Location

United States

Company Website

lidarview.kitware.com

Categories and Features

Categories and Features

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